Data challenges in the consumer goods industry
Consumer goods companies need to be able to understand what is driving a customer to buy its products so they can invest more resources on the actions leading clients to that. Modern customers expect you to truly know their interests and preferences so your company can provide personalized engagements and value their loyalty. You can only know your client's’ behavior by being a data driven company and carefully analyzing data.
Problems when using different solutions
To achieve this level of engagement and become a data-driven company, you would need tools like ETL, to extract, transform and load your data and a Data Warehouse to store all your data. You would then need to analyse this data and a Data Visualization tool to visually represent it. As you scale, more complex demands may require BI or machine learning capabilities from your stack.
You can make a quick search on the internet looking for “data solutions” but when you go deeper into the analysis you see what many companies are facing: Many separate tools offering different results that need to be integrated to achieve the desired result. This means organizations would have to hire an entire tech team to integrate and handle all the managing, tuning and configuration of these tools, indefinitely.
How SlicingDice empower the consumer goods industry
Unlike other data warehouses, that requires you to use different suppliers, The All-in-One Data Warehouse provided by SlicingDice has a Built-in Data Loading and Sync module. By using it, you can load data from more than 150 different sources allowing you to just insert and query data, freeing up IT personnel to perform more critical tasks instead of ETL. It also scales with your needs, not only in storage space but also in functionalities, as it has built-in capabilities to handle data visualization, BI and machine learning - adding new modules consistently.
SlicingDice provides a fully managed, highly available and secure by design data warehouse, that is very cost-effective and can be implemented in days, enabling consumer goods manufacturers to better understand consumers and plan ahead efficiently, based on their historical data, so new products can be released and old product can be renewed in time, increasing success rate and ROI of both product and data investments.
Predictions based on historical data
Our Machine Learning module can help any organization understand more about their customers and predict future outcomes.
Scale with your needs
No configuring or tuning for scaling. Simply insert as much data as you need and let the system handle it for you.
Very user friendly Business Intelligence
Combine our robust data visualization module with our visual click-and-drag BI module for a user-friendly but deep analysis.
Effortless data integration
Connect to 150+ different sources with our load & sync module. Set up automatic data ingestion and never touch it again.